Amazon SageMaker Examples
latest

Get started

  • Introduction to applying machine learning
  • Training
  • Inference

Featured examples

  • Get started with Studio
  • Framework examples
  • Model compilation with Neo
  • Bring your own container to Studio

Autopilot

  • Get started with Autopilot
  • Feature selection
  • Model explainability

Preprocessing

  • Preprocessing by data type
  • Ground Truth

Training

  • Algorithms
  • Bring your own container
  • Data types
  • Debugger
  • Distributed Training
  • Experiments
  • Frameworks
  • Hyperparameter tuning
  • Management features
  • Reinforcement learning

Inference

  • Batch transform
  • Bring your own container
  • Data types
  • Model Compilation with Neo
    • Get started with model compilation with Neo
      • Customer Churn Prediction with XGBoost
      • Model Optimization with an Image Classification Example
      • GluonCV SSD Mobilenet training and optimizing using SageMaker Neo
    • Apache MXNet
      • GluonCV YoloV3 Darknet training and optimizing using Neo
      • MNIST Training, Compilation and Deployment with MXNet Module and Sagemaker Neo
    • Inferentia
      • Compile and Deploy a TensorFlow model on Inf1 instances
      • Construct a script for distributed training
      • Deploy the trained model on Inf1 instance for real-time inferences
    • PyTorch
      • Deploying pre-trained PyTorch vision models with Amazon SageMaker Neo
      • Deploying pre-trained PyTorch VGG19 model with Amazon SageMaker Neo
    • TensorFlow
      • TensorFlow BYOM: Train with Custom Training Script, Compile with Neo, and Deploy on SageMaker
      • Construct a script for distributed training
      • Deploy the trained model to prepare for predictions (the old way)
      • Deploy the trained model using Neo
  • Model deployment
  • Model monitor

Frameworks

  • Apache MXNet
  • Deep Graph Library
  • PyTorch
  • R
  • Scikit-learn
  • TensorFlow

Workflows

  • Processing
  • Spark
  • Step Functions

Advanced examples

  • Science of ML
  • AWS Marketplace

Community examples

  • Contributions
Amazon SageMaker Examples
  • Docs »
  • Batch transform »
  • Get started with model compilation with Neo
  • Edit on GitHub

Get started with model compilation with Neo¶

  • Customer Churn Prediction with XGBoost
  • Model Optimization with an Image Classification Example
  • GluonCV SSD Mobilenet training and optimizing using SageMaker Neo

Apache MXNet¶

  • GluonCV YoloV3 Darknet training and optimizing using Neo
  • MNIST Training, Compilation and Deployment with MXNet Module and Sagemaker Neo

Inferentia¶

  • Compile and Deploy a TensorFlow model on Inf1 instances
  • Construct a script for distributed training
  • Deploy the trained model on Inf1 instance for real-time inferences

PyTorch¶

  • Deploying pre-trained PyTorch vision models with Amazon SageMaker Neo
  • Deploying pre-trained PyTorch VGG19 model with Amazon SageMaker Neo

TensorFlow¶

  • TensorFlow BYOM: Train with Custom Training Script, Compile with Neo, and Deploy on SageMaker
  • Construct a script for distributed training
  • Deploy the trained model to prepare for predictions (the old way)
  • Deploy the trained model using Neo
Next Previous

© Copyright 2020, Aaron Markham Revision 28420d84.

Built with Sphinx using a theme provided by Read the Docs.